Audit AI systems for security risks
ai-securityskillsetup L2★17,464
alirezarezvani/claude-skills ↗What it does
Assess AI/ML system for prompt injection and jailbreak risks
Best for
LLM agents or classifiers needing ATLAS-mapped vulnerability assessment pre-deployment.
Inputs
- · test prompts (JSON array)
- · target type (llm/classifier/embedding)
Outputs
- · injection signature matches
- · risk score (0.0-1.0)
- · MITRE ATLAS technique mapping
Requires
- · Python: ai_threat_scanner.py
- · MITRE ATLAS framework
Preconditions
Test prompts available, authorization for gray-box/white-box access
Failure modes
Skipping authorization, ignoring indirect RAG injection, conflating with app security
Trust signals
- · Static signature matching
- · MITRE ATLAS IDs in output
- · Access-level gating